Mac16,9
Geekbench AI Score
5616
Single Precision Score
9266
Half Precision Score
7091
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cyberhomie |
| Upload Date | June 02 2025 10:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2116
393.5 IPS |
|
|
Image Classification (HP)
|
100% |
3088
574.3 IPS |
|
|
Image Classification (Q)
|
96% |
2204
411.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3568
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3944
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18488
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33372
38.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
25256
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
97% |
3919
312.0 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
4962
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
8201
97.4 IPS |
|
|
Face Detection (Q)
|
100% |
4826
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8860
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15109
116.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10701
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26204
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
53136
68.3 IPS |
|
|
Style Transfer (Q)
|
96% |
40579
52.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6063
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10203
376.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5471
202.0 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5382
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5305
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6308
108.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8959
154.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8947
154.6 IPS |
