MacBook Pro (14-inch, 2023)
Geekbench AI Score
4208
Single Precision Score
6734
Half Precision Score
5293
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | wave |
| Upload Date | November 09 2024 06:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
2262
420.8 IPS |
|
|
Image Classification (Q)
|
96% |
1655
309.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2648
42.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2975
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13043
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
25317
29.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
19503
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
97% |
2732
217.5 IPS |
|
|
Object Detection (Q)
|
94% |
2021
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
3758
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
5763
68.5 IPS |
|
|
Face Detection (Q)
|
100% |
3410
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6466
49.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12405
95.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8188
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24706
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38517
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29492
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5063
186.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7036
259.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4468
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3849
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3885
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4612
79.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6209
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6224
107.6 IPS |
