MacBook Pro (16-inch Late 2019)
Geekbench AI Score
784
Single Precision Score
105
Half Precision Score
86
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | April 14 2025 04:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
440
81.7 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2363
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
694
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
629
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.4 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
816
9.70 IPS |
|
|
Face Detection (HP)
|
100% |
693
8.23 IPS |
|
|
Face Detection (Q)
|
100% |
264
3.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
1053
8.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
942
7.26 IPS |
|
|
Depth Estimation (Q)
|
85% |
680
5.32 IPS |
|
|
Style Transfer (SP)
|
100% |
3162
4.07 IPS |
|
|
Style Transfer (HP)
|
100% |
2462
3.16 IPS |
|
|
Style Transfer (Q)
|
96% |
2140
2.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1308
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
585
21.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
365
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
449
599.4 IPS |
|
|
Text Classification (HP)
|
100% |
458
611.0 IPS |
|
|
Text Classification (Q)
|
93% |
466
625.1 IPS |
|
|
Machine Translation (SP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (HP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (Q)
|
98% |
543
9.38 IPS |
