MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2532
Single Precision Score
14216
Half Precision Score
8386
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | vincent_zh |
| Upload Date | February 11 2025 10:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.3 (Build 23D56) |
| 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% |
1335
248.2 IPS |
|
|
Image Classification (HP)
|
100% |
7886
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
8147
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6634
107.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12655
205.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8431
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
104326
121.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102103
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.7 IPS |
|
|
Object Detection (HP)
|
100% |
10117
802.5 IPS |
|
|
Object Detection (Q)
|
93% |
11018
879.1 IPS |
|
|
Face Detection (SP)
|
100% |
2342
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
16509
196.2 IPS |
|
|
Face Detection (Q)
|
100% |
798
9.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
4290
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
59670
459.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
72782
569.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13125
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
154786
199.0 IPS |
|
|
Style Transfer (Q)
|
25% |
6233
174.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3769
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21531
795.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22363
825.8 IPS |
|
|
Text Classification (SP)
|
100% |
667
890.3 IPS |
|
|
Text Classification (HP)
|
100% |
653
872.2 IPS |
|
|
Text Classification (Q)
|
93% |
650
873.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2137
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2848
49.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2820
48.7 IPS |
