Mac16,6
Geekbench AI Score
5934
Single Precision Score
9162
Half Precision Score
7053
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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% |
2148
399.4 IPS |
|
|
Image Classification (HP)
|
100% |
3058
568.6 IPS |
|
|
Image Classification (Q)
|
96% |
2196
410.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3562
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4011
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19169
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32212
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
25006
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2589
205.4 IPS |
|
|
Object Detection (HP)
|
97% |
3911
311.4 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4664
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8112
96.4 IPS |
|
|
Face Detection (Q)
|
100% |
4669
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9036
69.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14851
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10527
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
37368
48.0 IPS |
|
|
Style Transfer (HP)
|
100% |
52609
67.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39750
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7159
264.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9671
357.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5439
200.8 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5467
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5360
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6079
104.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9065
156.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9008
155.7 IPS |
