MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4040
Single Precision Score
30443
Half Precision Score
33870
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 06 2026 09:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 3.71 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1534
285.4 IPS |
|
|
Image Classification (HP)
|
100% |
15884
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
18808
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22341
362.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27843
451.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8347
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
113118
132.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
111386
130.6 IPS |
|
|
Object Detection (SP)
|
100% |
1724
136.7 IPS |
|
|
Object Detection (HP)
|
100% |
17914
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
20200
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3654
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
38775
460.7 IPS |
|
|
Face Detection (Q)
|
100% |
51613
613.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7030
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
92369
711.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
116046
907.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21782
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
217286
279.3 IPS |
|
|
Style Transfer (Q)
|
96% |
206279
266.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4911
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47708
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52860
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5110
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4983
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5012
86.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5182
89.6 IPS |
