MacBook Pro (16-inch, 2023)
Geekbench AI Score
4088
Single Precision Score
6572
Half Precision Score
5197
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 11 2025 06:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
2256
419.6 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2483
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2880
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12875
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
24161
28.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
18382
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
1653
131.1 IPS |
|
|
Object Detection (HP)
|
97% |
2595
206.6 IPS |
|
|
Object Detection (Q)
|
94% |
1949
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
3525
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
5507
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3265
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6037
46.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11096
85.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7838
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24573
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38085
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29379
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4994
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6667
246.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4432
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
2370
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4096
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4103
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4378
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6743
116.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6155
106.4 IPS |
