Mac16,9
Geekbench AI Score
5631
Single Precision Score
37966
Half Precision Score
51935
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 01 2025 07:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2128
395.7 IPS |
|
|
Image Classification (HP)
|
100% |
18063
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
22795
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2415
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22855
370.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31725
514.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18372
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122844
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
229576
269.1 IPS |
|
|
Object Detection (SP)
|
100% |
2594
205.8 IPS |
|
|
Object Detection (HP)
|
100% |
20223
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24785
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4918
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
44288
526.2 IPS |
|
|
Face Detection (Q)
|
100% |
67931
807.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8788
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
112704
868.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
183006
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
26290
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
234799
301.8 IPS |
|
|
Style Transfer (Q)
|
96% |
300088
387.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6119
225.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47200
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80776
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3038
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6447
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6769
9.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
6203
106.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17013
293.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17009
293.9 IPS |
