MacBook Pro (14-inch, 2021) M1 MAX MacBook Pro (14-inch, 2021)
Geekbench AI Score
3535
Single Precision Score
14542
Half Precision Score
14325
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | tienthanh85 |
| Upload Date | March 10 2026 02:39 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1266
235.4 IPS |
|
|
Image Classification (HP)
|
100% |
5932
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5935
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8933
144.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9206
149.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10328
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69615
81.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
65757
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
99% |
7111
565.7 IPS |
|
|
Object Detection (Q)
|
91% |
6644
530.9 IPS |
|
|
Face Detection (SP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
13665
162.4 IPS |
|
|
Face Detection (Q)
|
100% |
12212
145.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5543
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
44829
345.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
47686
372.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21531
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
117393
150.9 IPS |
|
|
Style Transfer (Q)
|
96% |
110207
142.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4065
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24878
918.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25051
925.0 IPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4176
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4044
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2901
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2159
37.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2345
40.5 IPS |
