Mac Studio (2023)
Geekbench AI Score
16742
Single Precision Score
17932
Half Precision Score
15118
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | peterb123 |
| Upload Date | November 04 2024 10:21 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,14 |
| Motherboard | Mac14,14 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6306
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6321
1.18 KIPS |
|
|
Image Classification (Q)
|
97% |
4978
929.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
16164
262.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16502
267.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16220
262.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
106693
124.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
111325
129.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
97676
114.5 IPS |
|
|
Object Detection (SP)
|
100% |
6284
498.5 IPS |
|
|
Object Detection (HP)
|
100% |
6306
500.2 IPS |
|
|
Object Detection (Q)
|
91% |
5153
411.7 IPS |
|
|
Face Detection (SP)
|
100% |
32358
384.5 IPS |
|
|
Face Detection (HP)
|
100% |
32445
385.5 IPS |
|
|
Face Detection (Q)
|
100% |
22028
261.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
33256
256.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35039
270.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
27547
215.3 IPS |
|
|
Style Transfer (SP)
|
100% |
195746
251.6 IPS |
|
|
Style Transfer (HP)
|
100% |
200750
258.1 IPS |
|
|
Style Transfer (Q)
|
96% |
181454
234.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24239
895.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24743
913.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17678
652.8 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3987
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2123
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2074
35.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1978
34.2 IPS |
