Mac16,10
Geekbench AI Score
8613
Single Precision Score
10491
Half Precision Score
9447
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 07:52 PM |
| Views | 2 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4637
862.4 IPS |
|
|
Image Classification (HP)
|
100% |
4943
919.2 IPS |
|
|
Image Classification (Q)
|
97% |
4345
810.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4915
79.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7105
115.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7693
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29748
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32042
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30509
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5006
397.1 IPS |
|
|
Object Detection (HP)
|
100% |
5412
429.3 IPS |
|
|
Object Detection (Q)
|
91% |
4640
370.8 IPS |
|
|
Face Detection (SP)
|
100% |
12733
151.3 IPS |
|
|
Face Detection (HP)
|
100% |
16361
194.4 IPS |
|
|
Face Detection (Q)
|
100% |
12158
144.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21392
164.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23504
181.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20018
156.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58729
75.5 IPS |
|
|
Style Transfer (HP)
|
100% |
71771
92.3 IPS |
|
|
Style Transfer (Q)
|
96% |
67577
87.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12251
452.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13734
507.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10729
396.2 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5505
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5571
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1144
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1218
21.1 IPS |
