MacBook Pro (14-inch, 2023)
Geekbench AI Score
4005
Single Precision Score
6850
Half Precision Score
5433
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 05:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
2266
421.3 IPS |
|
|
Image Classification (Q)
|
96% |
1635
305.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2523
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2873
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11981
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26130
30.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
20164
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
1616
128.2 IPS |
|
|
Object Detection (HP)
|
97% |
2719
216.4 IPS |
|
|
Object Detection (Q)
|
94% |
2010
160.2 IPS |
|
|
Face Detection (SP)
|
100% |
3552
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
5928
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
3367
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6010
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11579
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8016
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25069
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39578
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31481
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6553
242.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4435
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3951
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3991
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3978
68.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7973
137.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7830
135.3 IPS |
