MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
2561
Single Precision Score
2718
Half Precision Score
890
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | March 08 2025 02:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega 20 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (15-inch Mid 2019) |
| Model ID | MacBookPro15,3 |
| Motherboard | Apple Inc. Mac-1E7E29AD0135F9BC MacBookPro15,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2251
418.5 IPS |
|
|
Image Classification (HP)
|
100% |
2311
429.8 IPS |
|
|
Image Classification (Q)
|
96% |
132
24.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
389
6.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (Q)
|
99% |
205
3.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
11067
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12263
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
2151
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
1617
128.2 IPS |
|
|
Object Detection (HP)
|
100% |
1748
138.7 IPS |
|
|
Object Detection (Q)
|
92% |
135
10.7 IPS |
|
|
Face Detection (SP)
|
100% |
6549
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
6685
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
235
2.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
8753
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8400
64.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7729
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22039
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22907
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28833
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3038
112.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3904
144.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3617
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
368
490.9 IPS |
|
|
Text Classification (HP)
|
100% |
402
535.9 IPS |
|
|
Text Classification (Q)
|
93% |
375
503.1 IPS |
|
|
Machine Translation (SP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (HP)
|
100% |
566
9.74 IPS |
|
|
Machine Translation (Q)
|
98% |
562
9.71 IPS |
