Mac15,13
Geekbench AI Score
7282
Single Precision Score
8738
Half Precision Score
7791
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | January 07 2025 05:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4268
793.7 IPS |
|
|
Image Classification (HP)
|
100% |
4665
867.6 IPS |
|
|
Image Classification (Q)
|
97% |
3831
714.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4057
65.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5724
92.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6307
102.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24414
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26328
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
25031
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
4290
340.3 IPS |
|
|
Object Detection (HP)
|
100% |
4822
382.5 IPS |
|
|
Object Detection (Q)
|
91% |
4095
327.2 IPS |
|
|
Face Detection (SP)
|
100% |
11437
135.9 IPS |
|
|
Face Detection (HP)
|
100% |
14604
173.5 IPS |
|
|
Face Detection (Q)
|
100% |
10137
120.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18153
139.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20319
156.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
17499
136.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51007
65.6 IPS |
|
|
Style Transfer (HP)
|
100% |
59889
77.0 IPS |
|
|
Style Transfer (Q)
|
96% |
56068
72.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10932
403.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11691
431.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9413
347.6 IPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5269
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5156
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (Q)
|
98% |
690
11.9 IPS |
