MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
12216
Single Precision Score
14284
Half Precision Score
13315
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Peanutss |
| Upload Date | March 02 2026 03:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5932
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6078
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5481
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9235
149.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10484
170.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9681
156.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
33738
39.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
37610
43.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
36657
42.9 IPS |
|
|
Object Detection (SP)
|
100% |
5561
441.1 IPS |
|
|
Object Detection (HP)
|
100% |
6144
487.3 IPS |
|
|
Object Detection (Q)
|
91% |
5882
470.1 IPS |
|
|
Face Detection (SP)
|
100% |
16980
201.8 IPS |
|
|
Face Detection (HP)
|
100% |
21343
253.6 IPS |
|
|
Face Detection (Q)
|
100% |
19966
237.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22724
175.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25125
193.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
24449
191.3 IPS |
|
|
Style Transfer (SP)
|
100% |
75720
97.3 IPS |
|
|
Style Transfer (HP)
|
100% |
88049
113.2 IPS |
|
|
Style Transfer (Q)
|
96% |
85446
110.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14048
518.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15252
563.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13246
489.1 IPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5130
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5040
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5823
100.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6501
112.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5499
95.0 IPS |
