MacBook Pro (14-inch, 2023)
Geekbench AI Score
3194
Single Precision Score
4754
Half Precision Score
3934
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Leomotors |
| Upload Date | August 19 2024 01:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1485
276.1 IPS |
|
|
Image Classification (HP)
|
100% |
1811
336.8 IPS |
|
|
Image Classification (Q)
|
99% |
1780
332.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1285
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6225
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
14748
17.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12561
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1612
127.9 IPS |
|
|
Object Detection (HP)
|
97% |
2216
176.4 IPS |
|
|
Object Detection (Q)
|
94% |
1680
133.9 IPS |
|
|
Face Detection (SP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
4236
50.3 IPS |
|
|
Face Detection (Q)
|
100% |
2808
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5478
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8544
66.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
4134
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16881
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26682
34.3 IPS |
|
|
Style Transfer (Q)
|
100% |
26628
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3794
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4780
176.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3527
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3731
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3718
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2335
40.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4489
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4539
78.4 IPS |
