MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4155
Single Precision Score
30679
Half Precision Score
34771
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | AwoidObi |
| Upload Date | May 27 2025 10:15 AM |
| Views | 4 |
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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1615
300.3 IPS |
|
|
Image Classification (HP)
|
100% |
16584
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
19737
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1854
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22077
357.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27858
451.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9005
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121834
142.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
120378
141.1 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
17277
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
19892
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
39539
469.8 IPS |
|
|
Face Detection (Q)
|
100% |
51418
611.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7144
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
96949
746.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
121384
949.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22332
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
226823
291.6 IPS |
|
|
Style Transfer (Q)
|
96% |
218574
282.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5336
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44812
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54490
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2845
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5031
6.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5045
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3445
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4890
84.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5233
90.4 IPS |
