MacBook Pro (16-inch, 2023)
Geekbench AI Score
3929
Single Precision Score
27445
Half Precision Score
30741
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 08 2025 01:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
15293
2.84 KIPS |
|
|
Image Classification (Q)
|
96% |
19068
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20133
326.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24415
395.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11568
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
106990
124.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106068
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
15969
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17731
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3295
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
36502
433.7 IPS |
|
|
Face Detection (Q)
|
100% |
46226
549.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5759
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
89100
686.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
112649
880.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24673
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
205509
264.2 IPS |
|
|
Style Transfer (Q)
|
96% |
195992
252.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4799
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44754
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51957
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4128
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4094
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4133
71.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3966
68.5 IPS |
