MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4152
Single Precision Score
30734
Half Precision Score
34924
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | luispepe |
| Upload Date | September 06 2025 07:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1611
299.6 IPS |
|
|
Image Classification (HP)
|
100% |
16222
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
19488
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1871
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22379
362.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27876
451.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8973
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121484
141.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
119454
140.0 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
100% |
17660
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
20369
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3790
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
38362
455.8 IPS |
|
|
Face Detection (Q)
|
100% |
51557
612.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7137
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97518
751.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
121763
952.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22281
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
226634
291.3 IPS |
|
|
Style Transfer (Q)
|
96% |
220020
283.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5240
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45375
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57617
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2865
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5163
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5142
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4862
83.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4991
86.3 IPS |
