Mac15,12
Geekbench AI Score
4124
Single Precision Score
31443
Half Precision Score
35318
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | IMaT_UoA |
| Upload Date | July 16 2025 10:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1597
297.0 IPS |
|
|
Image Classification (HP)
|
100% |
17733
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
20270
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22052
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27153
440.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8908
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121339
141.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
121030
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1820
144.4 IPS |
|
|
Object Detection (HP)
|
100% |
18519
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20999
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3514
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
38787
460.9 IPS |
|
|
Face Detection (Q)
|
100% |
52461
623.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7160
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98885
761.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
124233
971.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22467
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
230247
296.0 IPS |
|
|
Style Transfer (Q)
|
96% |
221558
285.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5276
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48790
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58007
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5419
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5375
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3259
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4605
79.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4795
82.9 IPS |
