Mac16,9
Geekbench AI Score
19338
Single Precision Score
21386
Half Precision Score
19380
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | March 28 2025 12:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9612
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
9827
1.83 KIPS |
|
|
Image Classification (Q)
|
97% |
8408
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16796
272.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17850
289.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18648
302.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
80590
94.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
83824
97.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
78847
92.4 IPS |
|
|
Object Detection (SP)
|
100% |
8752
694.2 IPS |
|
|
Object Detection (HP)
|
100% |
9603
761.7 IPS |
|
|
Object Detection (Q)
|
91% |
8202
655.4 IPS |
|
|
Face Detection (SP)
|
100% |
34933
415.1 IPS |
|
|
Face Detection (HP)
|
100% |
35399
420.6 IPS |
|
|
Face Detection (Q)
|
100% |
28505
338.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
42711
329.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
44390
342.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
37726
294.8 IPS |
|
|
Style Transfer (SP)
|
100% |
186459
239.7 IPS |
|
|
Style Transfer (HP)
|
100% |
205809
264.6 IPS |
|
|
Style Transfer (Q)
|
96% |
190148
245.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26699
985.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28001
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22684
837.6 IPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5379
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5391
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2888
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2911
50.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2949
51.0 IPS |
