Mac16,9
Geekbench AI Score
6021
Single Precision Score
36994
Half Precision Score
49861
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | edwardhchan |
| Upload Date | December 03 2025 02:29 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 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% |
2196
408.5 IPS |
|
|
Image Classification (HP)
|
100% |
17150
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
21178
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22899
371.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31788
515.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18586
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123477
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231991
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2724
216.0 IPS |
|
|
Object Detection (HP)
|
100% |
19592
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
24061
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5340
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
44291
526.3 IPS |
|
|
Face Detection (Q)
|
100% |
63583
755.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9055
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
110105
848.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177115
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
31617
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232914
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
319365
412.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7070
261.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48146
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78667
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5641
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
6698
115.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16383
282.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16113
278.5 IPS |
