Mac Studio (2023)
Geekbench AI Score
13731
Single Precision Score
15009
Half Precision Score
13481
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | technotim |
| Upload Date | December 18 2024 04:49 AM |
| Views | 3 |
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 | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6052
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6464
1.20 KIPS |
|
|
Image Classification (Q)
|
97% |
5292
987.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
13005
210.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12516
202.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12598
204.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
75971
88.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
78927
92.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
74510
87.3 IPS |
|
|
Object Detection (SP)
|
100% |
5573
442.0 IPS |
|
|
Object Detection (HP)
|
100% |
5765
457.2 IPS |
|
|
Object Detection (Q)
|
91% |
5168
412.9 IPS |
|
|
Face Detection (SP)
|
100% |
23218
275.9 IPS |
|
|
Face Detection (HP)
|
100% |
24017
285.4 IPS |
|
|
Face Detection (Q)
|
100% |
18526
220.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
29971
230.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
31105
239.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
26247
205.1 IPS |
|
|
Style Transfer (SP)
|
100% |
123424
158.7 IPS |
|
|
Style Transfer (HP)
|
100% |
139985
180.0 IPS |
|
|
Style Transfer (Q)
|
96% |
132859
171.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17914
661.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18827
695.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15154
559.6 IPS |
|
|
Text Classification (SP)
|
100% |
2085
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3675
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2229
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2168
37.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2147
37.1 IPS |
