Mac16,6
Geekbench AI Score
5599
Single Precision Score
38572
Half Precision Score
52658
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | mprimeaux |
| Upload Date | November 11 2024 10:26 PM |
| Views | 12 |
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 | 4.24 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2060
383.2 IPS |
|
|
Image Classification (HP)
|
100% |
18790
3.49 KIPS |
|
|
Image Classification (Q)
|
97% |
24083
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23552
381.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33603
544.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18083
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
121623
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
229330
268.8 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
21722
1.72 KIPS |
|
|
Object Detection (Q)
|
91% |
26445
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4328
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
43225
513.6 IPS |
|
|
Face Detection (Q)
|
100% |
62757
745.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8514
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
113371
873.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
186040
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
33667
43.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235117
302.2 IPS |
|
|
Style Transfer (Q)
|
96% |
306393
395.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6816
251.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48155
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83603
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6684
8.92 KIPS |
|
|
Text Classification (Q)
|
93% |
6659
8.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5689
98.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16814
289.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16773
289.9 IPS |
