MacBook Pro (14-inch, 2023)
Geekbench AI Score
16135
Single Precision Score
17122
Half Precision Score
15610
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 05:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
7147
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7042
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6367
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14801
239.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13892
225.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13572
220.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
83006
96.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
89453
104.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
87639
102.7 IPS |
|
|
Object Detection (SP)
|
100% |
6179
490.1 IPS |
|
|
Object Detection (HP)
|
100% |
6835
542.1 IPS |
|
|
Object Detection (Q)
|
92% |
6242
498.3 IPS |
|
|
Face Detection (SP)
|
100% |
27681
328.9 IPS |
|
|
Face Detection (HP)
|
100% |
29379
349.1 IPS |
|
|
Face Detection (Q)
|
100% |
25630
304.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
32817
252.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34205
263.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
30925
241.6 IPS |
|
|
Style Transfer (SP)
|
100% |
135684
174.4 IPS |
|
|
Style Transfer (HP)
|
100% |
155770
200.2 IPS |
|
|
Style Transfer (Q)
|
96% |
150113
193.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19892
734.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24019
886.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20840
769.5 IPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4090
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3717
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2325
40.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1792
31.0 IPS |
