MacBook Pro (16-inch, 2023)
Geekbench AI Score
4069
Single Precision Score
28007
Half Precision Score
30875
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | BlueBoy3000 |
| Upload Date | January 07 2026 08:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
15313
2.85 KIPS |
|
|
Image Classification (Q)
|
96% |
17666
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20116
326.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24915
403.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12027
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
107240
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105360
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1617
128.3 IPS |
|
|
Object Detection (HP)
|
99% |
16795
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
18829
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3684
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
36911
438.6 IPS |
|
|
Face Detection (Q)
|
100% |
47460
563.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6076
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
90397
696.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
112741
881.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25029
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
207160
266.3 IPS |
|
|
Style Transfer (Q)
|
96% |
193363
249.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4774
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45071
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53552
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
2483
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
4254
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4194
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4250
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4039
69.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3880
67.0 IPS |
