MacBook Pro (16-inch Late 2019)
Geekbench AI Score
893
Single Precision Score
117
Half Precision Score
93
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | smajor |
| Upload Date | July 22 2025 08:14 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| 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 | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2555
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
882
1.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
740
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
990
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
829
9.85 IPS |
|
|
Face Detection (Q)
|
100% |
334
3.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
1331
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1180
9.09 IPS |
|
|
Depth Estimation (Q)
|
85% |
746
5.83 IPS |
|
|
Style Transfer (SP)
|
100% |
3344
4.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3462
4.45 IPS |
|
|
Style Transfer (Q)
|
96% |
2622
3.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
667
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
407
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
468
624.8 IPS |
|
|
Text Classification (HP)
|
100% |
478
638.3 IPS |
|
|
Text Classification (Q)
|
93% |
490
657.1 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (HP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (Q)
|
98% |
534
9.23 IPS |
