MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
9038
Single Precision Score
10380
Half Precision Score
9608
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | wakhid |
| Upload Date | March 24 2026 05:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4330
805.3 IPS |
|
|
Image Classification (HP)
|
100% |
4699
873.8 IPS |
|
|
Image Classification (Q)
|
96% |
4339
810.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6503
105.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6977
113.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6735
109.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25019
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26190
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25929
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
4367
346.4 IPS |
|
|
Object Detection (HP)
|
100% |
4937
391.6 IPS |
|
|
Object Detection (Q)
|
92% |
4469
356.7 IPS |
|
|
Face Detection (SP)
|
100% |
11838
140.7 IPS |
|
|
Face Detection (HP)
|
100% |
15160
180.1 IPS |
|
|
Face Detection (Q)
|
100% |
12131
144.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18900
145.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20220
155.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18711
146.1 IPS |
|
|
Style Transfer (SP)
|
100% |
51267
65.9 IPS |
|
|
Style Transfer (HP)
|
100% |
59752
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58013
74.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11004
406.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10886
402.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9594
354.3 IPS |
|
|
Text Classification (SP)
|
100% |
3020
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5427
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5381
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2914
50.4 IPS |
