Mac16,9
Geekbench AI Score
5643
Single Precision Score
9342
Half Precision Score
7186
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | GadgetBear |
| Upload Date | April 26 2025 01:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.48 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2111
392.5 IPS |
|
|
Image Classification (HP)
|
100% |
3164
588.3 IPS |
|
|
Image Classification (Q)
|
96% |
2217
414.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3551
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3941
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18404
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32736
38.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24662
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2616
207.5 IPS |
|
|
Object Detection (HP)
|
97% |
3938
313.5 IPS |
|
|
Object Detection (Q)
|
94% |
2767
220.5 IPS |
|
|
Face Detection (SP)
|
100% |
4840
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
7986
94.9 IPS |
|
|
Face Detection (Q)
|
100% |
4651
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8770
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14929
115.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10549
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26514
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
53945
69.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39758
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6193
228.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10232
377.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6034
222.8 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5458
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5389
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6396
110.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9742
168.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9714
167.9 IPS |
