Mac15,13
Geekbench AI Score
2514
Single Precision Score
14040
Half Precision Score
15068
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | August 15 2024 10:16 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 4.03 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1263
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
7891
1.47 KIPS |
|
|
Image Classification (Q)
|
99% |
8598
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6472
104.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
6486
105.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7940
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
102239
119.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
103025
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
100% |
10037
796.2 IPS |
|
|
Object Detection (Q)
|
93% |
10753
858.0 IPS |
|
|
Face Detection (SP)
|
100% |
2241
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
13472
160.1 IPS |
|
|
Face Detection (Q)
|
100% |
15910
189.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4754
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
59296
456.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
64313
497.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12498
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
155210
199.5 IPS |
|
|
Style Transfer (Q)
|
100% |
153820
197.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3792
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21398
790.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26493
981.5 IPS |
|
|
Text Classification (SP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (Q)
|
93% |
839
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2108
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2791
48.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2793
48.3 IPS |
