Mac16,5
Geekbench AI Score
5862
Single Precision Score
36084
Half Precision Score
49268
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 01:22 PM |
| Views | 3 |
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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2101
390.7 IPS |
|
|
Image Classification (HP)
|
100% |
17381
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
21962
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22648
367.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31284
507.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19059
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123406
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231159
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2554
202.6 IPS |
|
|
Object Detection (HP)
|
100% |
19644
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23569
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4709
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
44252
525.8 IPS |
|
|
Face Detection (Q)
|
100% |
62225
739.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8828
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105251
810.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
180898
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35813
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232662
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
295717
381.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7132
263.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45467
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77637
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4966
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5393
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5971
102.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16032
276.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16153
279.1 IPS |
