Mac16,6
Geekbench AI Score
20424
Single Precision Score
23689
Half Precision Score
21280
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | coryholt |
| Upload Date | November 21 2024 11:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9932
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
10110
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
8588
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19220
311.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20175
327.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20932
339.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
106610
124.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
109542
127.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
103338
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
8905
706.4 IPS |
|
|
Object Detection (HP)
|
100% |
9986
792.1 IPS |
|
|
Object Detection (Q)
|
91% |
8587
686.2 IPS |
|
|
Face Detection (SP)
|
100% |
39176
465.5 IPS |
|
|
Face Detection (HP)
|
100% |
39822
473.2 IPS |
|
|
Face Detection (Q)
|
100% |
31929
379.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
44506
342.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46433
357.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
38954
304.4 IPS |
|
|
Style Transfer (SP)
|
100% |
218555
281.0 IPS |
|
|
Style Transfer (HP)
|
100% |
236223
303.7 IPS |
|
|
Style Transfer (Q)
|
96% |
216676
279.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29366
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30670
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25232
931.7 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5328
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5280
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2107
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3495
60.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3326
57.5 IPS |
