MacBook Pro M2 Pro GPU (14-inch, 2023) MacBook Pro (14-inch, 2023)
Geekbench AI Score
15133
Single Precision Score
16535
Half Precision Score
15491
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | thomasS |
| Upload Date | March 14 2026 11:23 AM |
| Views | 10 |
| Notes | 32GB Ram, GPU test |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6372
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
6476
1.20 KIPS |
|
|
Image Classification (Q)
|
94% |
6171
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12867
208.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13389
217.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12380
200.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
61806
72.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
65941
76.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
63386
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
5975
474.0 IPS |
|
|
Object Detection (HP)
|
100% |
6164
488.9 IPS |
|
|
Object Detection (Q)
|
91% |
5884
470.3 IPS |
|
|
Face Detection (SP)
|
100% |
26220
311.5 IPS |
|
|
Face Detection (HP)
|
100% |
26007
309.0 IPS |
|
|
Face Detection (Q)
|
100% |
23854
283.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
29030
223.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
29647
228.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
27729
216.8 IPS |
|
|
Style Transfer (SP)
|
100% |
114170
146.8 IPS |
|
|
Style Transfer (HP)
|
100% |
129148
166.0 IPS |
|
|
Style Transfer (Q)
|
96% |
125797
162.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19451
718.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20622
761.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17971
663.6 IPS |
|
|
Text Classification (SP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4018
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4064
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5111
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5254
90.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4598
79.5 IPS |
