MacBook Pro (14-inch, 2023)
Geekbench AI Score
4092
Single Precision Score
27217
Half Precision Score
30404
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | August 22 2025 04:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
14441
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
17448
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19917
322.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23779
385.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12025
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
106122
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105581
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1705
135.3 IPS |
|
|
Object Detection (HP)
|
99% |
15989
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17613
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3668
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
35465
421.4 IPS |
|
|
Face Detection (Q)
|
100% |
46354
550.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6040
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87663
675.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
107740
841.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24804
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203304
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
194707
251.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5017
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42222
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50561
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4057
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4038
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4380
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4222
72.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4407
76.2 IPS |
