Mac16,5
Geekbench AI Score
21758
Single Precision Score
23967
Half Precision Score
21604
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ksnyde |
| Upload Date | November 13 2024 04:40 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9773
1.82 KIPS |
|
|
Image Classification (HP)
|
100% |
10039
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
8545
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19654
318.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20727
336.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21230
344.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
107057
124.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
110356
128.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104117
122.0 IPS |
|
|
Object Detection (SP)
|
100% |
9155
726.1 IPS |
|
|
Object Detection (HP)
|
100% |
10210
809.9 IPS |
|
|
Object Detection (Q)
|
91% |
8712
696.1 IPS |
|
|
Face Detection (SP)
|
100% |
40763
484.4 IPS |
|
|
Face Detection (HP)
|
100% |
42144
500.8 IPS |
|
|
Face Detection (Q)
|
100% |
32439
385.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
45113
347.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47766
368.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
40804
318.9 IPS |
|
|
Style Transfer (SP)
|
100% |
223983
287.9 IPS |
|
|
Style Transfer (HP)
|
100% |
239112
307.4 IPS |
|
|
Style Transfer (Q)
|
96% |
222804
287.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30440
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31949
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26335
972.4 IPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5298
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5257
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3275
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3297
57.0 IPS |
