MacBook Pro (14-inch, 2023)
Geekbench AI Score
13678
Single Precision Score
15015
Half Precision Score
13529
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | plasmadice |
| Upload Date | July 23 2025 03:18 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6031
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6433
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
5806
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12794
207.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12529
203.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11910
193.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
60440
70.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
65585
76.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63143
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
5693
451.6 IPS |
|
|
Object Detection (HP)
|
100% |
5914
469.1 IPS |
|
|
Object Detection (Q)
|
92% |
5466
436.3 IPS |
|
|
Face Detection (SP)
|
100% |
23347
277.4 IPS |
|
|
Face Detection (HP)
|
100% |
24196
287.5 IPS |
|
|
Face Detection (Q)
|
100% |
21180
251.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28212
217.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
29568
227.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
26546
207.4 IPS |
|
|
Style Transfer (SP)
|
100% |
111737
143.6 IPS |
|
|
Style Transfer (HP)
|
100% |
127419
163.8 IPS |
|
|
Style Transfer (Q)
|
96% |
123291
159.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18990
701.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20625
761.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17521
647.0 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4067
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4019
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2656
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2437
42.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1764
30.5 IPS |
