MacBook Pro (14-inch, 2023)
Geekbench AI Score
4120
Single Precision Score
27478
Half Precision Score
30357
Quantized Score
Geekbench AI 1.6.0 Corporate for macOS AArch64
Result Information
| Upload Date | December 02 2025 08:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1369
254.5 IPS |
|
|
Image Classification (HP)
|
100% |
14500
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
17015
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1660
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20113
326.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24896
403.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12263
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
105281
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104287
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1656
131.3 IPS |
|
|
Object Detection (HP)
|
99% |
15509
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17263
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3642
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
35681
424.0 IPS |
|
|
Face Detection (Q)
|
100% |
45996
546.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6131
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
88188
679.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
107709
841.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25678
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204359
262.7 IPS |
|
|
Style Transfer (Q)
|
96% |
188070
242.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4947
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43655
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49427
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2479
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
4141
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4165
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4349
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4433
76.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4545
78.5 IPS |
