Mac16,6
Geekbench AI Score
5995
Single Precision Score
37028
Half Precision Score
50509
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | travishill |
| Upload Date | November 11 2024 11:45 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2166
402.7 IPS |
|
|
Image Classification (HP)
|
100% |
18259
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
24818
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2626
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22685
367.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31212
506.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19288
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123397
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230245
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2571
203.9 IPS |
|
|
Object Detection (HP)
|
100% |
19633
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
24124
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4769
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
40362
479.6 IPS |
|
|
Face Detection (Q)
|
100% |
60952
724.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9084
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110089
848.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
177007
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
37057
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233352
300.0 IPS |
|
|
Style Transfer (Q)
|
96% |
296356
382.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7227
266.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46576
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79330
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2978
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5865
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5836
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
6154
106.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17051
293.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16970
293.3 IPS |
