Mac16,6
Geekbench AI Score
5864
Single Precision Score
36139
Half Precision Score
47523
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 06:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 4.51 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% |
16538
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
20659
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2498
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22615
366.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31080
503.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18994
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122955
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
228922
268.3 IPS |
|
|
Object Detection (SP)
|
100% |
2537
201.2 IPS |
|
|
Object Detection (HP)
|
100% |
19404
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
22577
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
4786
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
44304
526.4 IPS |
|
|
Face Detection (Q)
|
100% |
63101
749.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9003
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
109620
844.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
173552
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
35865
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232441
298.8 IPS |
|
|
Style Transfer (Q)
|
96% |
297066
383.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7087
261.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44397
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
74998
2.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5517
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4705
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5971
102.9 IPS |
|
|
Machine Translation (HP)
|
100% |
15402
265.3 IPS |
|
|
Machine Translation (Q)
|
98% |
15425
266.6 IPS |
