Mac16,5
Geekbench AI Score
6026
Single Precision Score
32159
Half Precision Score
39842
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | headcrash13 |
| Upload Date | November 13 2024 10:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2160
401.7 IPS |
|
|
Image Classification (HP)
|
100% |
17721
3.30 KIPS |
|
|
Image Classification (Q)
|
99% |
18334
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2604
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16992
275.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
17073
276.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19295
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
118138
137.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
225751
264.8 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
100% |
17732
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
23891
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4896
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
27209
323.3 IPS |
|
|
Face Detection (Q)
|
100% |
46153
548.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9107
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
89242
687.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
94148
728.0 IPS |
|
|
Style Transfer (SP)
|
100% |
37036
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
169119
217.4 IPS |
|
|
Style Transfer (Q)
|
100% |
169284
217.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7341
271.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46747
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
78255
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5728
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6102
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6181
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17059
293.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16997
293.7 IPS |
