MacBook Pro (14-inch, 2023)
Geekbench AI Score
4137
Single Precision Score
26775
Half Precision Score
30161
Quantized Score
Geekbench AI 1.6.0 Corporate for macOS AArch64
Result Information
| Upload Date | December 02 2025 05:58 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1403
260.9 IPS |
|
|
Image Classification (HP)
|
100% |
13621
2.53 KIPS |
|
|
Image Classification (Q)
|
96% |
17338
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19921
322.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24659
399.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13060
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
105269
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104187
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1685
133.7 IPS |
|
|
Object Detection (HP)
|
99% |
15126
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17048
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3607
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
34819
413.7 IPS |
|
|
Face Detection (Q)
|
100% |
44749
531.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6199
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87379
673.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
105886
827.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25173
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
205709
264.4 IPS |
|
|
Style Transfer (Q)
|
96% |
187280
241.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5003
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40883
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51166
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2349
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4101
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4041
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4417
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4178
72.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4472
77.3 IPS |
