MacBook Pro (16-inch, 2023)
Geekbench AI Score
4160
Single Precision Score
6727
Half Precision Score
5257
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Rhein080 |
| Upload Date | January 27 2025 06:34 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.43 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
2247
417.9 IPS |
|
|
Image Classification (Q)
|
96% |
1645
307.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1706
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2624
42.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2925
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12852
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
24417
28.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
18976
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
1666
132.1 IPS |
|
|
Object Detection (HP)
|
97% |
2689
214.1 IPS |
|
|
Object Detection (Q)
|
94% |
1961
156.3 IPS |
|
|
Face Detection (SP)
|
100% |
3557
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
5917
70.3 IPS |
|
|
Face Detection (Q)
|
100% |
3417
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6414
49.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12108
93.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8030
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24652
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37983
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29561
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5159
190.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7037
259.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4441
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4003
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3981
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4561
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6404
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6288
108.7 IPS |
