MacBook Pro (16-inch Late 2019)
Geekbench AI Score
888
Single Precision Score
650
Half Precision Score
445
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | todeveni |
| Upload Date | October 17 2025 03:51 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9880H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.30 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% |
413
76.8 IPS |
|
|
Image Classification (HP)
|
100% |
311
57.9 IPS |
|
|
Image Classification (Q)
|
96% |
182
34.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
502
8.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.65 IPS |
|
|
Image Segmentation (Q)
|
99% |
285
4.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
2298
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
754
0.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
685
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (Q)
|
92% |
200
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
924
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
745
8.86 IPS |
|
|
Face Detection (Q)
|
100% |
306
3.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
1276
9.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
1121
8.64 IPS |
|
|
Depth Estimation (Q)
|
85% |
690
5.39 IPS |
|
|
Style Transfer (SP)
|
100% |
3282
4.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3231
4.15 IPS |
|
|
Style Transfer (Q)
|
96% |
2371
3.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1519
56.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
643
23.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
375
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
411
548.5 IPS |
|
|
Text Classification (HP)
|
100% |
444
592.1 IPS |
|
|
Text Classification (Q)
|
93% |
450
604.2 IPS |
|
|
Machine Translation (SP)
|
100% |
577
9.95 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.83 IPS |
|
|
Machine Translation (Q)
|
98% |
510
8.81 IPS |
