Mac16,9
Geekbench AI Score
5966
Single Precision Score
9194
Half Precision Score
7044
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | everestsky |
| Upload Date | June 14 2025 06:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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% |
3059
568.9 IPS |
|
|
Image Classification (Q)
|
96% |
2196
410.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2619
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3632
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3970
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19203
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32304
37.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24794
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (HP)
|
97% |
3903
310.7 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4777
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8085
96.1 IPS |
|
|
Face Detection (Q)
|
100% |
4740
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9036
69.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14983
115.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10483
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37369
48.0 IPS |
|
|
Style Transfer (HP)
|
100% |
52692
67.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39481
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7206
266.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9676
357.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5453
201.3 IPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5507
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5368
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
6007
103.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9067
156.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8990
155.4 IPS |
