Mac16,6
Geekbench AI Score
5978
Single Precision Score
35981
Half Precision Score
49299
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pixelcort |
| Upload Date | November 28 2024 10:21 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,6 |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| 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% |
2140
397.9 IPS |
|
|
Image Classification (HP)
|
100% |
17911
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
21852
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2543
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22567
365.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31143
504.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19315
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123031
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
229387
268.9 IPS |
|
|
Object Detection (SP)
|
100% |
2589
205.4 IPS |
|
|
Object Detection (HP)
|
100% |
19048
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
25121
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4848
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
44457
528.3 IPS |
|
|
Face Detection (Q)
|
100% |
63784
757.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9085
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104745
807.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
176406
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
37479
48.2 IPS |
|
|
Style Transfer (HP)
|
100% |
228405
293.6 IPS |
|
|
Style Transfer (Q)
|
96% |
290278
374.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7220
266.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45412
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77017
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
4924
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5145
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
6030
103.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16145
278.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16709
288.8 IPS |
