MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
941
Single Precision Score
730
Half Precision Score
494
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | March 08 2025 02:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| 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% |
484
90.0 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
96% |
194
36.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
455
7.37 IPS |
|
|
Image Segmentation (Q)
|
99% |
315
5.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
2690
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
868
1.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
747
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
495
39.2 IPS |
|
|
Object Detection (HP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (Q)
|
92% |
229
18.2 IPS |
|
|
Face Detection (SP)
|
100% |
1046
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
854
10.2 IPS |
|
|
Face Detection (Q)
|
100% |
348
4.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
1449
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1312
10.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
790
6.18 IPS |
|
|
Style Transfer (SP)
|
100% |
3866
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
3623
4.66 IPS |
|
|
Style Transfer (Q)
|
96% |
2721
3.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
722
26.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
429
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
485
647.8 IPS |
|
|
Text Classification (HP)
|
100% |
473
631.9 IPS |
|
|
Text Classification (Q)
|
93% |
470
631.4 IPS |
|
|
Machine Translation (SP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (HP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (Q)
|
98% |
551
9.51 IPS |
