MacBook Pro (14-inch, 2023)
Geekbench AI Score
14437
Single Precision Score
15952
Half Precision Score
13868
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | August 22 2025 04:10 PM |
| Views | 7 |
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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6393
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
6731
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6113
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12546
203.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12150
197.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12063
195.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
61815
72.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
66379
77.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
64007
75.0 IPS |
|
|
Object Detection (SP)
|
100% |
6126
485.9 IPS |
|
|
Object Detection (HP)
|
100% |
6496
515.2 IPS |
|
|
Object Detection (Q)
|
92% |
6061
483.8 IPS |
|
|
Face Detection (SP)
|
100% |
25129
298.6 IPS |
|
|
Face Detection (HP)
|
100% |
25931
308.1 IPS |
|
|
Face Detection (Q)
|
100% |
21601
256.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28650
220.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
29745
229.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
27662
216.1 IPS |
|
|
Style Transfer (SP)
|
100% |
112935
145.2 IPS |
|
|
Style Transfer (HP)
|
100% |
128906
165.7 IPS |
|
|
Style Transfer (Q)
|
96% |
125803
162.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20436
754.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21539
795.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18916
698.5 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4068
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4038
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1602
27.7 IPS |
