MacBook Pro (16-inch, 2023)
Geekbench AI Score
4071
Single Precision Score
6847
Half Precision Score
5468
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Zodios |
| Upload Date | February 01 2026 06:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
2274
422.8 IPS |
|
|
Image Classification (Q)
|
96% |
1675
312.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1688
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2516
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2877
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11892
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26480
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
20480
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
1631
129.4 IPS |
|
|
Object Detection (HP)
|
97% |
2719
216.4 IPS |
|
|
Object Detection (Q)
|
94% |
2007
159.9 IPS |
|
|
Face Detection (SP)
|
100% |
3608
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
6022
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3427
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6028
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11573
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8075
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25083
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40980
52.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31655
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4899
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6387
235.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4485
165.6 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4100
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
3880
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4281
73.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7358
127.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7922
136.9 IPS |
