MacBook Pro (14-inch, 2023)
Geekbench AI Score
4144
Single Precision Score
6685
Half Precision Score
5671
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | astrokari |
| Upload Date | August 31 2024 04:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
2243
417.1 IPS |
|
|
Image Classification (Q)
|
99% |
2237
417.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2543
41.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2529
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13028
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
25415
29.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18482
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
97% |
2693
214.4 IPS |
|
|
Object Detection (Q)
|
94% |
2003
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
3673
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
5974
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3366
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6365
49.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12128
93.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
12187
94.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24734
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38138
49.0 IPS |
|
|
Style Transfer (Q)
|
100% |
38168
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5058
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6869
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4359
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3845
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3833
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4376
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6265
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6280
108.5 IPS |
