MacBook Pro (14-inch, 2023)
Geekbench AI Score
4042
Single Precision Score
6619
Half Precision Score
5203
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Toda |
| Upload Date | September 10 2025 04:02 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.27 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
2189
407.0 IPS |
|
|
Image Classification (Q)
|
96% |
1590
296.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1675
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2507
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2774
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12411
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
25634
29.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19400
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1649
130.8 IPS |
|
|
Object Detection (HP)
|
97% |
2720
216.5 IPS |
|
|
Object Detection (Q)
|
94% |
1945
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
3493
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
5609
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3215
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5967
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10806
83.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7691
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22750
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38626
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29224
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5102
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6552
241.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4428
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3904
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4293
74.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7014
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7006
121.1 IPS |
