MacBook Pro (14-inch, 2023)
Geekbench AI Score
3193
Single Precision Score
4798
Half Precision Score
3985
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | August 15 2024 07:13 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| 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% |
1469
273.1 IPS |
|
|
Image Classification (HP)
|
100% |
1831
340.4 IPS |
|
|
Image Classification (Q)
|
99% |
1825
340.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1309
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6333
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
14963
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12681
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1625
128.9 IPS |
|
|
Object Detection (HP)
|
97% |
2211
176.0 IPS |
|
|
Object Detection (Q)
|
94% |
1717
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
4405
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
2889
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5556
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8642
66.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
4186
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16940
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26786
34.4 IPS |
|
|
Style Transfer (Q)
|
100% |
26886
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3833
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4803
177.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3585
132.8 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3695
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2206
38.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4546
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4510
77.9 IPS |
