Mac16,9
Geekbench AI Score
5958
Single Precision Score
9541
Half Precision Score
7292
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 14 2025 04:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.47 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2177
404.9 IPS |
|
|
Image Classification (HP)
|
100% |
3116
579.6 IPS |
|
|
Image Classification (Q)
|
96% |
2213
413.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3670
59.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3989
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18359
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34705
40.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
27046
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2696
213.9 IPS |
|
|
Object Detection (HP)
|
97% |
3956
314.9 IPS |
|
|
Object Detection (Q)
|
94% |
2801
223.3 IPS |
|
|
Face Detection (SP)
|
100% |
5308
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
8723
103.6 IPS |
|
|
Face Detection (Q)
|
100% |
4903
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8980
69.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15124
116.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9794
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31414
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
58125
74.7 IPS |
|
|
Style Transfer (Q)
|
96% |
43875
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7096
262.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9687
357.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5443
201.0 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5472
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5595
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
6272
108.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9805
169.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9913
171.3 IPS |
