MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2467
Single Precision Score
14111
Half Precision Score
15906
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | danielmcfarland |
| Upload Date | May 21 2025 02:14 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 3.84 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1300
241.8 IPS |
|
|
Image Classification (HP)
|
100% |
7588
1.41 KIPS |
|
|
Image Classification (Q)
|
97% |
7893
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6621
107.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12764
206.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8005
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
100892
117.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
103221
121.0 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.8 IPS |
|
|
Object Detection (HP)
|
100% |
9961
790.1 IPS |
|
|
Object Detection (Q)
|
93% |
10513
838.9 IPS |
|
|
Face Detection (SP)
|
100% |
1983
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
13824
164.3 IPS |
|
|
Face Detection (Q)
|
100% |
16366
194.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4637
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
59033
454.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
70967
554.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12140
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
153912
197.9 IPS |
|
|
Style Transfer (Q)
|
96% |
141921
183.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3802
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21232
784.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26663
984.5 IPS |
|
|
Text Classification (SP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (Q)
|
93% |
786
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2027
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2765
47.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2745
47.4 IPS |
