Mac16,5
Geekbench AI Score
20837
Single Precision Score
24633
Half Precision Score
18905
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | headcrash13 |
| Upload Date | November 13 2024 10:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10438
1.94 KIPS |
|
|
Image Classification (HP)
|
100% |
10853
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
10694
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19569
317.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20626
334.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
20626
334.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
107479
125.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
110633
129.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
101488
118.8 IPS |
|
|
Object Detection (SP)
|
100% |
9278
736.0 IPS |
|
|
Object Detection (HP)
|
100% |
10350
821.0 IPS |
|
|
Object Detection (Q)
|
91% |
8866
708.5 IPS |
|
|
Face Detection (SP)
|
100% |
40183
477.5 IPS |
|
|
Face Detection (HP)
|
100% |
42962
510.5 IPS |
|
|
Face Detection (Q)
|
100% |
32354
384.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
44976
346.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47470
365.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
7821
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
221900
285.3 IPS |
|
|
Style Transfer (HP)
|
100% |
240921
309.7 IPS |
|
|
Style Transfer (Q)
|
100% |
244714
314.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30706
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32562
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
25477
943.9 IPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5489
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5415
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3655
63.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3440
59.5 IPS |
