MacBook Pro (14-inch, 2023)
Geekbench AI Score
16268
Single Precision Score
17908
Half Precision Score
16718
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Toda |
| Upload Date | September 08 2025 10:58 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.26 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7005
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7015
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6445
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14995
243.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14099
228.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13296
215.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
83386
97.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
89675
104.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
86655
101.5 IPS |
|
|
Object Detection (SP)
|
100% |
6643
526.9 IPS |
|
|
Object Detection (HP)
|
100% |
6825
541.3 IPS |
|
|
Object Detection (Q)
|
92% |
6316
504.2 IPS |
|
|
Face Detection (SP)
|
100% |
27570
327.6 IPS |
|
|
Face Detection (HP)
|
100% |
29094
345.7 IPS |
|
|
Face Detection (Q)
|
100% |
25136
298.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
34083
262.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35076
270.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
32109
250.8 IPS |
|
|
Style Transfer (SP)
|
100% |
136964
176.1 IPS |
|
|
Style Transfer (HP)
|
100% |
156565
201.3 IPS |
|
|
Style Transfer (Q)
|
96% |
152641
197.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20528
758.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24266
896.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21363
788.8 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3835
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3808
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3577
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3769
64.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3629
62.7 IPS |
