Mac16,9
Geekbench AI Score
5601
Single Precision Score
9269
Half Precision Score
7121
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 25 2025 04:09 PM |
| Views | 2 |
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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2129
395.9 IPS |
|
|
Image Classification (HP)
|
100% |
3100
576.4 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3667
59.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3993
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18143
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32178
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
25006
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2607
206.8 IPS |
|
|
Object Detection (HP)
|
97% |
3937
313.4 IPS |
|
|
Object Detection (Q)
|
94% |
2710
216.0 IPS |
|
|
Face Detection (SP)
|
100% |
4895
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
8061
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
4737
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8842
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14875
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10448
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26857
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
52645
67.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39879
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6086
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10173
375.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5845
215.8 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5445
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5337
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6135
105.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9302
160.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9131
157.8 IPS |
