Mac16,6
Geekbench AI Score
5850
Single Precision Score
31454
Half Precision Score
38393
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | cletsinger |
| Upload Date | March 20 2025 04:37 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | Mac16,6 |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2095
389.6 IPS |
|
|
Image Classification (HP)
|
100% |
17085
3.18 KIPS |
|
|
Image Classification (Q)
|
99% |
17190
3.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17057
276.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
17016
275.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19085
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
118408
138.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
225638
264.7 IPS |
|
|
Object Detection (SP)
|
100% |
2507
198.9 IPS |
|
|
Object Detection (HP)
|
100% |
17473
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
23285
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4657
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
26866
319.2 IPS |
|
|
Face Detection (Q)
|
100% |
45615
542.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8969
69.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88583
682.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
92743
717.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35612
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
168814
217.0 IPS |
|
|
Style Transfer (Q)
|
100% |
168405
216.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7083
261.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45576
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
75553
2.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5371
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5219
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
6022
103.7 IPS |
|
|
Machine Translation (HP)
|
100% |
15987
275.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16120
278.6 IPS |
