MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
2654
Single Precision Score
2694
Half Precision Score
896
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | March 08 2025 02:24 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% |
2268
421.8 IPS |
|
|
Image Classification (HP)
|
100% |
2308
429.3 IPS |
|
|
Image Classification (Q)
|
96% |
129
24.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
384
6.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.15 IPS |
|
|
Image Segmentation (Q)
|
99% |
217
3.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
11114
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12251
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
2117
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
1792
142.1 IPS |
|
|
Object Detection (Q)
|
92% |
136
10.9 IPS |
|
|
Face Detection (SP)
|
100% |
6611
78.6 IPS |
|
|
Face Detection (HP)
|
100% |
6106
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
237
2.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
8601
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8401
64.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7744
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22316
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22901
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29403
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3544
130.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3861
142.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3698
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
387
516.2 IPS |
|
|
Text Classification (HP)
|
100% |
405
541.2 IPS |
|
|
Text Classification (Q)
|
93% |
372
499.5 IPS |
|
|
Machine Translation (SP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
571
9.83 IPS |
|
|
Machine Translation (Q)
|
98% |
560
9.69 IPS |
