MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4167
Single Precision Score
30596
Half Precision Score
34310
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jlmoore7299 |
| Upload Date | May 30 2025 01:58 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1629
302.9 IPS |
|
|
Image Classification (HP)
|
100% |
16492
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
19437
3.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22480
364.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27634
448.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9009
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120403
140.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
120346
141.1 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
100% |
17301
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
19892
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3795
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
39461
468.9 IPS |
|
|
Face Detection (Q)
|
100% |
46629
554.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7148
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97007
747.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
120701
943.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22326
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
225720
290.2 IPS |
|
|
Style Transfer (Q)
|
96% |
218121
281.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5253
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44611
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56280
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2841
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4975
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5002
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3460
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4854
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5088
87.9 IPS |
