MacBook Pro (14-inch, 2021)
Geekbench AI Score
3766
Single Precision Score
15794
Half Precision Score
15684
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | MutnuyHavy |
| Upload Date | August 19 2025 06:08 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1333
247.9 IPS |
|
|
Image Classification (HP)
|
100% |
6376
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6146
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9520
154.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10106
163.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11225
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69862
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66241
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
99% |
7498
596.5 IPS |
|
|
Object Detection (Q)
|
91% |
7069
564.8 IPS |
|
|
Face Detection (SP)
|
100% |
3363
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
14868
176.7 IPS |
|
|
Face Detection (Q)
|
100% |
14050
166.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5913
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50091
385.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
51893
405.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22386
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119153
153.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115362
148.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25844
954.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27739
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3946
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3419
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3365
58.2 IPS |
