Mac Pro (2023)
Geekbench AI Score
4606
Single Precision Score
26524
Half Precision Score
29909
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | March 20 2025 05:58 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | Mac Pro (2023) |
| Model ID | Mac14,8 |
| Motherboard | Mac14,8 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.68 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1472
273.7 IPS |
|
|
Image Classification (HP)
|
100% |
12881
2.40 KIPS |
|
|
Image Classification (Q)
|
96% |
15968
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19348
313.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24606
398.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18296
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
105091
122.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103149
120.9 IPS |
|
|
Object Detection (SP)
|
100% |
1868
148.1 IPS |
|
|
Object Detection (HP)
|
99% |
15750
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17424
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3707
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
35164
417.8 IPS |
|
|
Face Detection (Q)
|
100% |
46551
553.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6658
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86067
663.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
107198
837.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27888
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202627
260.5 IPS |
|
|
Style Transfer (Q)
|
96% |
190194
245.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6031
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40432
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47982
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3995
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5007
86.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4181
72.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4460
77.1 IPS |
