Mac15,14
Geekbench AI Score
5327
Single Precision Score
30704
Half Precision Score
33191
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 10:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1688
313.8 IPS |
|
|
Image Classification (HP)
|
100% |
15822
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
17464
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22329
362.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26693
432.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
21183
24.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
120757
140.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
119648
140.2 IPS |
|
|
Object Detection (SP)
|
100% |
2139
169.6 IPS |
|
|
Object Detection (HP)
|
100% |
18940
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
18826
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
4567
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
38345
455.6 IPS |
|
|
Face Detection (Q)
|
100% |
44810
532.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7848
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
103931
800.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
119712
936.0 IPS |
|
|
Style Transfer (SP)
|
100% |
35316
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
219031
281.6 IPS |
|
|
Style Transfer (Q)
|
96% |
214640
277.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6929
255.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42722
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50780
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2728
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4966
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4960
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4856
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4977
85.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5329
92.1 IPS |
