Mac15,14
Geekbench AI Score
21665
Single Precision Score
24052
Half Precision Score
22211
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 25 2025 08:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.05 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8191
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
8434
1.57 KIPS |
|
|
Image Classification (Q)
|
96% |
7501
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23900
387.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
25334
410.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23940
388.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
112465
131.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
115060
134.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
111430
130.6 IPS |
|
|
Object Detection (SP)
|
100% |
7808
619.3 IPS |
|
|
Object Detection (HP)
|
100% |
8288
657.4 IPS |
|
|
Object Detection (Q)
|
92% |
7439
593.8 IPS |
|
|
Face Detection (SP)
|
100% |
38580
458.4 IPS |
|
|
Face Detection (HP)
|
100% |
40375
479.7 IPS |
|
|
Face Detection (Q)
|
100% |
34612
411.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
38305
295.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
41786
321.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
38124
298.1 IPS |
|
|
Style Transfer (SP)
|
100% |
248043
318.9 IPS |
|
|
Style Transfer (HP)
|
100% |
270757
348.1 IPS |
|
|
Style Transfer (Q)
|
96% |
253682
327.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29146
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29907
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25461
940.1 IPS |
|
|
Text Classification (SP)
|
100% |
2798
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
5101
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5078
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4434
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4537
78.4 IPS |
