Mac16,10
Geekbench AI Score
9291
Single Precision Score
11020
Half Precision Score
9697
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mtx_1 |
| Upload Date | November 11 2024 08:43 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4866
904.8 IPS |
|
|
Image Classification (HP)
|
100% |
5299
985.4 IPS |
|
|
Image Classification (Q)
|
97% |
4614
861.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4941
80.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7186
116.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7641
123.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
30327
35.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32294
37.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
30574
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5116
405.8 IPS |
|
|
Object Detection (HP)
|
100% |
5628
446.4 IPS |
|
|
Object Detection (Q)
|
91% |
4816
384.8 IPS |
|
|
Face Detection (SP)
|
100% |
13056
155.1 IPS |
|
|
Face Detection (HP)
|
100% |
16686
198.3 IPS |
|
|
Face Detection (Q)
|
100% |
12232
145.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22315
171.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24538
189.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
21027
164.4 IPS |
|
|
Style Transfer (SP)
|
100% |
59495
76.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72398
93.1 IPS |
|
|
Style Transfer (Q)
|
96% |
67800
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13233
488.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14536
536.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11584
427.8 IPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5458
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5560
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1832
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1262
21.8 IPS |
