MacBook Pro (14-inch, 2023)
Geekbench AI Score
4138
Single Precision Score
6707
Half Precision Score
5254
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | SandroWeb |
| Upload Date | January 16 2025 09:28 PM |
| Views | 2 |
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 (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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
2223
413.3 IPS |
|
|
Image Classification (Q)
|
96% |
1633
304.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2626
42.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2908
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12925
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25437
29.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
19210
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
97% |
2695
214.6 IPS |
|
|
Object Detection (Q)
|
94% |
1991
158.7 IPS |
|
|
Face Detection (SP)
|
100% |
3623
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
5821
69.2 IPS |
|
|
Face Detection (Q)
|
100% |
3439
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6470
49.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12112
93.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8133
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24820
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38518
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29430
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5040
186.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6927
255.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4432
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3958
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3919
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4331
74.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6190
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6176
106.7 IPS |
