MacBook Pro (16-inch, 2023)
Geekbench AI Score
4150
Single Precision Score
6770
Half Precision Score
5330
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Major-Osa |
| Upload Date | February 27 2025 01:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
2270
422.1 IPS |
|
|
Image Classification (Q)
|
96% |
1683
314.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2705
43.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2979
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12802
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
25111
29.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
19368
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1667
132.2 IPS |
|
|
Object Detection (HP)
|
97% |
2730
217.3 IPS |
|
|
Object Detection (Q)
|
94% |
2027
161.5 IPS |
|
|
Face Detection (SP)
|
100% |
3619
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
5808
69.0 IPS |
|
|
Face Detection (Q)
|
100% |
3356
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6307
48.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12370
95.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8309
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24695
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38371
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29572
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5087
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6922
255.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4466
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4036
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4077
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4277
73.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6245
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6262
108.2 IPS |
