Mac Studio (2023)
Geekbench AI Score
12344
Single Precision Score
13063
Half Precision Score
11677
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ZBOYDMARK |
| Upload Date | August 24 2024 11:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6207
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6349
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
5685
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13082
212.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12825
207.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
12466
202.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
81429
95.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
85189
99.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
75547
88.5 IPS |
|
|
Object Detection (SP)
|
100% |
5750
456.1 IPS |
|
|
Object Detection (HP)
|
100% |
6189
491.0 IPS |
|
|
Object Detection (Q)
|
92% |
5214
416.2 IPS |
|
|
Face Detection (SP)
|
100% |
23685
281.4 IPS |
|
|
Face Detection (HP)
|
100% |
24889
295.7 IPS |
|
|
Face Detection (Q)
|
100% |
17083
203.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
32478
250.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
32947
253.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
33069
255.7 IPS |
|
|
Style Transfer (SP)
|
100% |
132590
170.4 IPS |
|
|
Style Transfer (HP)
|
100% |
149550
192.2 IPS |
|
|
Style Transfer (Q)
|
100% |
147094
189.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20177
745.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20420
754.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15447
572.3 IPS |
|
|
Text Classification (SP)
|
100% |
517
690.1 IPS |
|
|
Text Classification (HP)
|
100% |
610
813.7 IPS |
|
|
Text Classification (Q)
|
93% |
607
815.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2032
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2168
37.5 IPS |
