MacBook Pro (14-inch, 2023)
Geekbench AI Score
4290
Single Precision Score
29681
Half Precision Score
33278
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | bdesigner |
| Upload Date | March 29 2026 03:18 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1356
252.2 IPS |
|
|
Image Classification (HP)
|
100% |
15392
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
18745
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20124
326.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25314
410.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11605
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
107482
125.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104738
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.4 IPS |
|
|
Object Detection (HP)
|
99% |
16608
1.32 KIPS |
|
|
Object Detection (Q)
|
89% |
17927
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3586
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
38185
453.7 IPS |
|
|
Face Detection (Q)
|
100% |
51908
616.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5972
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
88565
682.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
113650
889.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24747
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
208173
267.6 IPS |
|
|
Style Transfer (Q)
|
96% |
194342
250.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4812
177.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44831
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52641
1.94 KIPS |
|
|
Text Classification (SP)
|
99% |
4619
6.16 KIPS |
|
|
Text Classification (HP)
|
100% |
7268
9.70 KIPS |
|
|
Text Classification (Q)
|
93% |
7202
9.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4308
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4184
72.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4302
74.3 IPS |
