MacBookPro16,4
Geekbench AI Score
922
Single Precision Score
118
Half Precision Score
93
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | Echrei |
| Upload Date | September 26 2025 02:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| Model | MacBookPro16,4 |
| Model ID | MacBookPro16,4 |
| Motherboard | Apple Inc. Mac-A61BADE1FDAD7B05 MacBookPro16,4 |
| 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% |
457
85.1 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2631
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
847
0.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
737
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
473
37.6 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
845
10.0 IPS |
|
|
Face Detection (Q)
|
100% |
346
4.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
1373
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1200
9.25 IPS |
|
|
Depth Estimation (Q)
|
85% |
755
5.90 IPS |
|
|
Style Transfer (SP)
|
100% |
3761
4.84 IPS |
|
|
Style Transfer (HP)
|
100% |
3489
4.49 IPS |
|
|
Style Transfer (Q)
|
96% |
2629
3.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
672
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
408
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
474
632.3 IPS |
|
|
Text Classification (HP)
|
100% |
483
644.9 IPS |
|
|
Text Classification (Q)
|
93% |
475
636.9 IPS |
|
|
Machine Translation (SP)
|
100% |
355
6.11 IPS |
|
|
Machine Translation (HP)
|
100% |
545
9.38 IPS |
|
|
Machine Translation (Q)
|
98% |
519
8.97 IPS |
