Mac Studio (2023)
Geekbench AI Score
13777
Single Precision Score
14846
Half Precision Score
13216
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tim2o |
| Upload Date | January 07 2025 12:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6449
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6483
1.21 KIPS |
|
|
Image Classification (Q)
|
97% |
5608
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11916
193.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11673
189.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11673
189.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
62068
72.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
64870
75.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
60086
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
6052
480.1 IPS |
|
|
Object Detection (HP)
|
100% |
6421
509.3 IPS |
|
|
Object Detection (Q)
|
91% |
5544
443.0 IPS |
|
|
Face Detection (SP)
|
100% |
25420
302.0 IPS |
|
|
Face Detection (HP)
|
100% |
25636
304.6 IPS |
|
|
Face Detection (Q)
|
100% |
17997
213.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
29280
225.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29869
230.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
25299
197.7 IPS |
|
|
Style Transfer (SP)
|
100% |
114532
147.2 IPS |
|
|
Style Transfer (HP)
|
100% |
128623
165.3 IPS |
|
|
Style Transfer (Q)
|
96% |
120435
155.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20032
739.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20810
768.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16773
619.4 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3970
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2145
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2022
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2043
35.3 IPS |
