Mac16,9
Geekbench AI Score
6032
Single Precision Score
9512
Half Precision Score
7342
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | KipR |
| Upload Date | October 15 2025 09:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2190
407.3 IPS |
|
|
Image Classification (HP)
|
100% |
3015
560.8 IPS |
|
|
Image Classification (Q)
|
96% |
2181
407.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3516
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4001
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18447
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34675
40.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
27279
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2737
217.1 IPS |
|
|
Object Detection (HP)
|
97% |
3977
316.6 IPS |
|
|
Object Detection (Q)
|
94% |
2804
223.5 IPS |
|
|
Face Detection (SP)
|
100% |
5351
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
8823
104.8 IPS |
|
|
Face Detection (Q)
|
100% |
4896
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9074
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15423
119.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10133
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31614
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
57923
74.5 IPS |
|
|
Style Transfer (Q)
|
96% |
44201
57.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7087
261.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9349
345.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5515
203.7 IPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5687
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5736
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
6685
115.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9905
171.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9830
169.9 IPS |
