MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4029
Single Precision Score
30583
Half Precision Score
34542
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 22 2025 07:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.04 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1549
288.1 IPS |
|
|
Image Classification (HP)
|
100% |
16330
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
20058
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21825
353.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26961
437.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8317
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
121336
141.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
120361
141.1 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.5 IPS |
|
|
Object Detection (HP)
|
100% |
17172
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
19313
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3737
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
39650
471.1 IPS |
|
|
Face Detection (Q)
|
100% |
52265
621.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7137
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97803
753.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
121941
953.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22158
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
225411
289.8 IPS |
|
|
Style Transfer (Q)
|
96% |
217666
280.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46701
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54712
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5132
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5219
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3277
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4602
79.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4857
83.9 IPS |
