Mac16,9
Geekbench AI Score
5514
Single Precision Score
9086
Half Precision Score
7028
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cgraff |
| Upload Date | April 02 2025 02:09 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.46 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2085
387.7 IPS |
|
|
Image Classification (HP)
|
100% |
3116
579.4 IPS |
|
|
Image Classification (Q)
|
96% |
2151
401.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3566
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3819
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17628
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32135
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24929
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2551
202.3 IPS |
|
|
Object Detection (HP)
|
97% |
3730
296.9 IPS |
|
|
Object Detection (Q)
|
94% |
2684
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
4844
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
7837
93.1 IPS |
|
|
Face Detection (Q)
|
100% |
4580
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8494
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14881
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10151
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26355
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49843
64.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39420
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6079
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10120
373.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5915
218.4 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5325
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5348
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6030
103.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9201
159.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9237
159.6 IPS |
