Mac15,14
Geekbench AI Score
22097
Single Precision Score
24439
Half Precision Score
22788
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | September 15 2025 07:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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 | 4.06 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8464
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
8981
1.67 KIPS |
|
|
Image Classification (Q)
|
96% |
7670
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23930
387.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25590
414.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24134
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
108925
127.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
119169
139.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
113946
133.5 IPS |
|
|
Object Detection (SP)
|
100% |
7783
617.4 IPS |
|
|
Object Detection (HP)
|
100% |
8028
636.7 IPS |
|
|
Object Detection (Q)
|
92% |
7820
624.2 IPS |
|
|
Face Detection (SP)
|
100% |
39294
466.9 IPS |
|
|
Face Detection (HP)
|
100% |
41230
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
35560
422.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
38707
298.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
42019
323.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38030
297.1 IPS |
|
|
Style Transfer (SP)
|
100% |
249834
321.2 IPS |
|
|
Style Transfer (HP)
|
100% |
277444
356.7 IPS |
|
|
Style Transfer (Q)
|
96% |
267446
345.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29456
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29469
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24814
916.3 IPS |
|
|
Text Classification (SP)
|
100% |
3012
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5143
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5161
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4796
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4746
81.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4945
85.5 IPS |
