Mac Studio (2023)
Geekbench AI Score
17993
Single Precision Score
19333
Half Precision Score
17488
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | l3uzz |
| Upload Date | February 01 2025 08:19 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.67 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6320
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6365
1.18 KIPS |
|
|
Image Classification (Q)
|
97% |
5676
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17729
287.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18415
298.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19270
312.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
138295
161.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
142712
166.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
130004
152.4 IPS |
|
|
Object Detection (SP)
|
100% |
6306
500.2 IPS |
|
|
Object Detection (HP)
|
100% |
6338
502.8 IPS |
|
|
Object Detection (Q)
|
91% |
5670
453.1 IPS |
|
|
Face Detection (SP)
|
100% |
35253
418.9 IPS |
|
|
Face Detection (HP)
|
100% |
35238
418.7 IPS |
|
|
Face Detection (Q)
|
100% |
26502
314.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
34838
268.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
36873
284.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
32389
253.1 IPS |
|
|
Style Transfer (SP)
|
100% |
226563
291.3 IPS |
|
|
Style Transfer (HP)
|
100% |
229852
295.5 IPS |
|
|
Style Transfer (Q)
|
96% |
212627
274.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25419
938.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26370
973.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20976
774.6 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4040
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4014
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2246
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2163
37.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2160
37.3 IPS |
