Mac16,9
Geekbench AI Score
6020
Single Precision Score
9578
Half Precision Score
7330
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | galois1811 |
| Upload Date | December 15 2025 01:04 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2196
408.4 IPS |
|
|
Image Classification (HP)
|
100% |
3134
582.8 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3549
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3975
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18211
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34597
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
27223
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
97% |
3957
315.0 IPS |
|
|
Object Detection (Q)
|
94% |
2797
222.9 IPS |
|
|
Face Detection (SP)
|
100% |
5329
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
8823
104.8 IPS |
|
|
Face Detection (Q)
|
100% |
4917
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9061
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15640
120.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10311
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31641
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58596
75.3 IPS |
|
|
Style Transfer (Q)
|
96% |
44250
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7085
261.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9689
357.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5397
199.3 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5604
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5599
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
6703
115.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9728
168.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9928
171.6 IPS |
