Mac15,14
Geekbench AI Score
5329
Single Precision Score
8227
Half Precision Score
6468
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 09:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac15,14 |
| Model ID | Mac15,14 |
| Motherboard | Mac15,14 |
| CPU Information | |
|---|---|
| Name | Apple M3 Ultra |
| Topology | 1 Processor, 28 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 3.98 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1685
313.4 IPS |
|
|
Image Classification (HP)
|
100% |
2540
472.3 IPS |
|
|
Image Classification (Q)
|
96% |
1841
343.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2842
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3486
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
21510
25.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
35395
41.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
26427
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
2145
170.1 IPS |
|
|
Object Detection (HP)
|
97% |
3176
252.8 IPS |
|
|
Object Detection (Q)
|
94% |
2296
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
4573
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
6927
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
4130
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7825
60.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13479
104.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9143
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35242
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
51808
66.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39199
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6855
253.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9291
343.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5777
213.3 IPS |
|
|
Text Classification (SP)
|
100% |
2726
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4975
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4971
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4836
83.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7831
135.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7750
133.9 IPS |
