Mac16,9
Geekbench AI Score
5870
Single Precision Score
37311
Half Precision Score
50756
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | September 04 2025 07:50 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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 | 4.42 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2150
399.8 IPS |
|
|
Image Classification (HP)
|
100% |
18589
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
23106
4.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23791
385.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32579
528.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18228
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122727
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230545
270.2 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
20317
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24737
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4991
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
43990
522.7 IPS |
|
|
Face Detection (Q)
|
100% |
65112
773.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8694
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111455
858.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
182479
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
30256
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
236837
304.5 IPS |
|
|
Style Transfer (Q)
|
96% |
327287
422.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7062
260.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48494
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
73672
2.72 KIPS |
|
|
Text Classification (SP)
|
100% |
3167
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5374
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5406
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
6519
112.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15670
269.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17067
294.9 IPS |
