Mac15,12
Geekbench AI Score
8485
Single Precision Score
9862
Half Precision Score
9670
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | January 23 2026 10:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4346
808.1 IPS |
|
|
Image Classification (HP)
|
100% |
4723
878.3 IPS |
|
|
Image Classification (Q)
|
94% |
4177
780.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6671
108.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7196
116.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6921
112.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23737
27.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26646
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
26061
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
4473
354.8 IPS |
|
|
Object Detection (HP)
|
100% |
4877
386.8 IPS |
|
|
Object Detection (Q)
|
90% |
4516
361.1 IPS |
|
|
Face Detection (SP)
|
100% |
12131
144.1 IPS |
|
|
Face Detection (HP)
|
100% |
16128
191.6 IPS |
|
|
Face Detection (Q)
|
100% |
12721
151.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18472
142.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20271
156.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
18531
145.0 IPS |
|
|
Style Transfer (SP)
|
100% |
50823
65.3 IPS |
|
|
Style Transfer (HP)
|
100% |
60416
77.7 IPS |
|
|
Style Transfer (Q)
|
96% |
58375
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10429
385.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10661
393.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9268
342.2 IPS |
|
|
Text Classification (SP)
|
100% |
3081
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
5301
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5278
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1719
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3123
54.0 IPS |
