MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11926
Single Precision Score
13645
Half Precision Score
12769
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 04:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
5874
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
6200
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5416
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9602
155.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10045
162.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9562
155.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
33761
39.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
37376
43.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
36313
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
5537
439.2 IPS |
|
|
Object Detection (HP)
|
100% |
5908
468.6 IPS |
|
|
Object Detection (Q)
|
92% |
5775
461.0 IPS |
|
|
Face Detection (SP)
|
100% |
16550
196.6 IPS |
|
|
Face Detection (HP)
|
100% |
20479
243.3 IPS |
|
|
Face Detection (Q)
|
100% |
17422
207.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22794
175.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24971
192.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
22906
178.9 IPS |
|
|
Style Transfer (SP)
|
100% |
76488
98.3 IPS |
|
|
Style Transfer (HP)
|
100% |
87256
112.2 IPS |
|
|
Style Transfer (Q)
|
96% |
84309
108.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13686
505.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14639
540.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12785
472.1 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
4999
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4970
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4682
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4983
85.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4965
85.8 IPS |
