Mac16,9
Geekbench AI Score
5576
Single Precision Score
9215
Half Precision Score
7124
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 10 2025 04:41 PM |
| Views | 3 |
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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2126
395.3 IPS |
|
|
Image Classification (HP)
|
100% |
3096
575.7 IPS |
|
|
Image Classification (Q)
|
96% |
2189
408.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3473
56.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3943
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17889
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33077
38.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
25199
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2595
205.9 IPS |
|
|
Object Detection (HP)
|
97% |
3897
310.2 IPS |
|
|
Object Detection (Q)
|
94% |
2714
216.3 IPS |
|
|
Face Detection (SP)
|
100% |
4833
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8101
96.3 IPS |
|
|
Face Detection (Q)
|
100% |
4733
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8849
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14761
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10311
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26514
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
52632
67.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39474
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6113
225.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10113
373.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6073
224.3 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5427
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5302
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6148
105.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9232
159.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9204
159.1 IPS |
