Mac Studio (2023)
Geekbench AI Score
16705
Single Precision Score
17895
Half Precision Score
16099
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | dipak |
| Upload Date | December 04 2024 12:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
6270
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6253
1.16 KIPS |
|
|
Image Classification (Q)
|
97% |
5542
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16196
262.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16463
266.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16953
274.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
106604
124.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
111252
129.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102560
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
6228
494.0 IPS |
|
|
Object Detection (HP)
|
100% |
6245
495.4 IPS |
|
|
Object Detection (Q)
|
91% |
5550
443.5 IPS |
|
|
Face Detection (SP)
|
100% |
32349
384.4 IPS |
|
|
Face Detection (HP)
|
100% |
32311
383.9 IPS |
|
|
Face Detection (Q)
|
100% |
25242
299.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33256
256.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35163
270.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
30073
235.0 IPS |
|
|
Style Transfer (SP)
|
100% |
195016
250.7 IPS |
|
|
Style Transfer (HP)
|
100% |
200754
258.1 IPS |
|
|
Style Transfer (Q)
|
96% |
186261
240.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24373
900.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24622
909.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20014
739.0 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4040
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2098
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1935
33.4 IPS |
