MacBook Pro (14-inch, 2023)
Geekbench AI Score
4119
Single Precision Score
6697
Half Precision Score
5237
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ChrisMunson |
| Upload Date | January 30 2025 07:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.29 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
2246
417.6 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2570
41.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2879
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11847
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
23592
27.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
18712
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
97% |
2745
218.6 IPS |
|
|
Object Detection (Q)
|
94% |
1916
152.7 IPS |
|
|
Face Detection (SP)
|
100% |
3553
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
5781
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
3294
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6334
48.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11898
92.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7987
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24987
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38969
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30281
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5097
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7054
260.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4470
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3980
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3950
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4517
77.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6456
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6573
113.6 IPS |
