MacBook Pro (14-inch, 2021)
Geekbench AI Score
3553
Single Precision Score
14388
Half Precision Score
14340
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | kaiiy |
| Upload Date | October 25 2025 10:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1273
236.8 IPS |
|
|
Image Classification (HP)
|
100% |
5825
1.08 KIPS |
|
|
Image Classification (Q)
|
96% |
5892
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8480
137.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9090
147.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10414
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
68795
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
65456
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (HP)
|
99% |
6806
541.4 IPS |
|
|
Object Detection (Q)
|
91% |
6348
507.2 IPS |
|
|
Face Detection (SP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
12512
148.7 IPS |
|
|
Face Detection (Q)
|
100% |
11863
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5374
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
45782
352.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47200
368.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21777
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
117622
151.2 IPS |
|
|
Style Transfer (Q)
|
96% |
111349
143.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3969
146.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24579
907.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25573
944.3 IPS |
|
|
Text Classification (SP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4159
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4127
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3028
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2388
41.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2512
43.4 IPS |
